About Me
Business Intelligence Engineer with 5 years of experience delivering business intelligence, dashboards, reporting automation, and data solutions for data-driven decision making. Proven ability to improve reporting visibi…
Business Intelligence Engineer with 5 years of experience delivering business intelligence, dashboards, reporting automation, and data solutions for data-driven decision making. Proven ability to improve reporting visibility by 40% and streamline reporting by 20% using SQL, Tableau, Python, Snowflake, and data warehouse pipelines. Experienced partnering with cross-functional stakeholders to define requirements, standardize metrics, validate data, and deliver actionable ad-hoc analysis.
Experience
Business Intelligence Engineer III
<p>Automated recurring BI reporting workflows with SQL, Python, and QuickSight, improving operational efficiency while delivering critical KPI visibility across multi-source datasets</p><p> Strengthened data accuracy and validation by testing reporting logic and dashboard calculations, reducing manual reconciliation efforts by 15-20%</p><p> Built scalable data pipelines integrating APIs and MCP workflows into Redshift, enabling automated transformation, validation, and reliable recurring reporting</p><p> Delivered ad-hoc analysis and decision support by translating operational data into insights, trade-offs, and business recommendations for stakeholders</p><p> Standardized metric definitions and data models with cross-functional stakeholders, improving reporting consistency and reducing rework across weekly reporting cycles</p>
Business Intelligence Engineer II
<p>Designed Tableau and QuickSight dashboards for senior leadership, improving operational visibility by 40% and streamlining reporting processes by 20%</p><p> Engineered advanced SQL queries across MySQL, Redshift, and S3 datasets, enabling reliable business intelligence and faster operational analysis</p><p> Partnered with international teams to define BI requirements, standardize KPIs, and improve the usability and consistency of enterprise reporting</p><p> Applied AWS services (Glue, EMR, Lambda, IAM) with Apache Iceberg to strengthen data governance, quality controls, and scalable processing</p><p> Deployed ELT pipelines using Python and Airflow (MWAA), reducing pipeline failures by 25% and improving production reporting reliability</p>
Business Analyst
<p>Delivered analytics dashboards and backend validations in Agile releases, strengthening report quality and supporting data-driven product decisions</p><p> Facilitated JAD sessions to document user requirements and validate reporting needs, improving stakeholder alignment and reducing rework by 15%</p><p> Improved delivery timelines by 20% through Agile coordination, data visualization, and ad-hoc SQL analysis for business stakeholders</p><p> Translated business requirements into user stories and acceptance criteria, connecting business users with engineering teams for report enhancements</p>
Business Analyst
<p>Built predictive models using R, Python, and SQL integrated into SSRS reports, enhancing forecast accuracy by 25%</p><p> Engineered a centralized Snowflake data warehouse integrating multiple data sources, elevating reporting accuracy by 30%</p><p> Supported CRM strategies through data-driven insights, increasing customer retention by 20%</p>
PROJECTS
Next-Gen Cloud Data Migration & Architecture Implementation
<p>• Transformed a legacy Oracle system into a cloud-native Redshift architecture, resolving performance</p><p>bottlenecks impacting 50+ operational dashboards and accelerating data refresh speed by 40%</p><p>• Redesigned legacy SQL pipelines using CTEs, modular query design, and distributed Spark execution,</p><p>enabling metadata-driven orchestration and lineage monitoring</p><p>• Automated end-to-end data validation with Apache Airflow DAGs and Python scripts, achieving 99–</p><p>100% accuracy and eliminating manual intervention entirely</p>